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Properties of the solution set of absolute value equations and the related matrix classes

Milan Hladík

TL;DR

The absolute value equations (AVE) problem is addressed by analysing properties of AVE and the corresponding solution set, and topological properties of the solution set such as convexity, boundedness, connectedness, or whether it consists of finitely many solutions are investigated.

Abstract

The absolute value equations (AVE) problem is an algebraic problem of solving Ax+|x|=b. So far, most of the research focused on methods for solving AVEs, but we address the problem itself by analysing properties of AVE and the corresponding solution set. In particular, we investigate topological properties of the solution set, such as convexity, boundedness, connectedness, or whether it consists of finitely many solutions. Further, we address problems related to nonnegativity of solutions such as solvability or unique solvability. AVE can be formulated by means of different optimization problems, and in this regard we are interested in how the solutions of AVE are related with optima, Karush-Kuhn-Tucker points and feasible solutions of these optimization problems. We characterize the matrix classes associated with the above mentioned properties and inspect the computational complexity of the recognition problem; some of the classes are polynomially recognizable, but some others are proved to be NP-hard. For the intractable cases, we propose various sufficient conditions. We also post new challenging problems that raised during the investigation of the problem.

Properties of the solution set of absolute value equations and the related matrix classes

TL;DR

The absolute value equations (AVE) problem is addressed by analysing properties of AVE and the corresponding solution set, and topological properties of the solution set such as convexity, boundedness, connectedness, or whether it consists of finitely many solutions are investigated.

Abstract

The absolute value equations (AVE) problem is an algebraic problem of solving Ax+|x|=b. So far, most of the research focused on methods for solving AVEs, but we address the problem itself by analysing properties of AVE and the corresponding solution set. In particular, we investigate topological properties of the solution set, such as convexity, boundedness, connectedness, or whether it consists of finitely many solutions. Further, we address problems related to nonnegativity of solutions such as solvability or unique solvability. AVE can be formulated by means of different optimization problems, and in this regard we are interested in how the solutions of AVE are related with optima, Karush-Kuhn-Tucker points and feasible solutions of these optimization problems. We characterize the matrix classes associated with the above mentioned properties and inspect the computational complexity of the recognition problem; some of the classes are polynomially recognizable, but some others are proved to be NP-hard. For the intractable cases, we propose various sufficient conditions. We also post new challenging problems that raised during the investigation of the problem.
Paper Structure (18 sections, 40 theorems, 52 equations, 1 figure, 1 algorithm)

This paper contains 18 sections, 40 theorems, 52 equations, 1 figure, 1 algorithm.

Key Result

Proposition 1

The solution set $\hbox{\large$\Sigma$}$ located in the orthant given by $s\in\{\pm1\}^n$ is characterized by the linear system $(A+D_s)x=b$, $D_sx\geq0$.

Figures (1)

  • Figure 1: Six examples of various shapes of the solution set of AVE.

Theorems & Definitions (77)

  • Proposition 1
  • Theorem 1: WuLi2018
  • Proposition 2
  • proof
  • Proposition 3
  • proof
  • Proposition 4
  • proof
  • Proposition 5
  • proof
  • ...and 67 more